class_docstr: A class whose objects contains image data, meta-data, and supports useful
  utility methods. This is intended to make image pre-processing easier for
  input into subsequent learning methods. Supports reading of JPEG and PNG
  formats.
  
  
  Parameters
  ----------
  
  path : string
      The path of the location of the image file to be loaded into the Image
      object.
  
  format : {'auto' | 'JPG' | 'PNG'}, optional
      Defaults to 'auto'. A format hint for the constructor. If left as
      'auto', constructor tries to infer file format from file extension.
      Otherwise, tries to decode file as whatever the format hint suggests.
  
  See Also
  --------
  turicreate.image_analysis.load_images
  turicreate.image_analysis.resize
  
  Examples
  --------
  >>> img = turicreate.Image('https://static.turi.com/datasets/images/sample.jpg')
  >>> turicreate.SArray([img]).show()
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code: def __eq__(self, other):
      if isinstance(other, self.__class__):
          return self.__dict__ == other.__dict__
      else:
          return False
  
file_path: turicreate/src/python/turicreate/data_structures/image.py
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .._deps import numpy
label_desc: Use image node_id 6 for calling the Image obj's underlying member method code with example usage: obj.__eq__(other) and returns: unknown, False